Loyola University Maryland

Data Science

Curriculum

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All coursework offered at Columbia Graduate Center. Most courses are hybrid. This will mean that some weeks will substitute synchronous in classroom learning for asynchronous out-of-classroom learning.

The program consists of 10 courses. The requirements include:

  • Four core courses in business, statistics, and computer science.
  • Two statistics courses;
  • Two computer science courses;
  • An elective from statistics, computer science, or business; and
  • A technical capstone project.

For the required statistics and computer science courses, one course is proscribed while the other is an elective.

Core

CS703 Programming for Data Science (taught by CS faculty)

ST710 Statistical Computing (taught by Statistics faculty)

GB730 Business Analytics and Strategic Decision Making (taught by IS faculty)

GB851 Business Intelligence and Data Mining (taught by IS faculty)

Additional Required Courses

CS737 Machine Learning

ST765 Linear Statistical Models

DS796 Data Science Project

Computer Science Elective Courses

CS745 Multimedia data analysis and mining

CS746 Data Visualization

CS750 Special Topics in Computer Science

CS751 Independent Study  

CS752 Parallel Computing

CS761 Modeling and Simulation

CS765 Database Retrieval

CS766 Information Retrieval and Natural Language Processing

Statistics Elective Courses

ST767 Multivariate Analysis

ST775 Generalized Linear Models

ST776 Bayesian Inference

ST777 Numerical Analysis for Statisticians

ST781 Operations Research

ST791 Special Topics in Statistics

ST792 Independent Study  

Business Elective Courses

GB700 Ethics and Social Responsibility

GB701 Operations Management and Process Strategies

GB705 Leadership and Management

GB732 Data Management and Governance

GB733 Enterprise Systems

GB736 Data Visualization for Decision Making

GB852 Advanced Analytics

GB853 Social Media and Web Mining

GB735 Project Management

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